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Record W2050664470 · doi:10.1080/10978526.2012.749113

Argentine Consumers' Perceptions of the U.S. Brand Personality

2012· article· en· W2050664470 on OpenAlexaff
José I. Rojas‐Méndez, Nicolas Papadopoulos

Bibliographic record

VenueLatin American Business Review · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsCarleton University
Fundersnot available
KeywordsPersonalityNeuroticismBig Five personality traitsPsychologyFacet (psychology)PopulationScale (ratio)Big Five personality traits and cultureSocial psychologyConstruct (python library)PerceptionSociologyGeographyDemography

Abstract

fetched live from OpenAlex

This research applies the personality metaphor to examine the U.S. brand personality in Argentina. An extensive multinational exploratory study was conducted to identify the most common personality traits associated to country names. Subsequently, a descriptive study was carried out in Argentina with a sample of the general population with the following objectives in mind: (a) to develop a scale to measure the U.S. brand personality in Argentina; and (b) to determine whether this scale comprises good predictors of intentions to behave toward the United States. Results indicate that the U.S. brand personality is a multidimensional construct comprised of four main dimensions (facets): amicableness (cordiality and modesty), resourcefulness (vibrant and erudite), neuroticism (toughness and tyrannical), and spirited. An overall view indicates that Argentines' perceptions of the U.S. brand personality encompass a bipolar personality type, where mainly the facet vibrancy battles with toughness personality traits. The emergent Brand Personality Scale is a significant predictor of Argentines' behavioral intentions toward the United States.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.278
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2012
Admission routes1
Has abstractyes

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